Marktechpost

MAY 14, 2024

Deep learning is crucial in today’s age as it powers advancements in artificial intelligence, enabling applications like image and speech recognition, language translation, and autonomous vehicles. Additionally, it offers insights into the diverse range of deep learning techniques applied across various industrial sectors.

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Heartbeat

OCTOBER 11, 2023

This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Machine Learning? Machine learning algorithms can make predictions or classifications based on input data.

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Analytics Vidhya

DECEMBER 17, 2019

Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya.

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Marktechpost

MAY 8, 2024

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution.

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Marktechpost

MAY 10, 2024

Machine learning is widely applied in finance for tasks like credit scoring, fraud detection, and trading. This course recommends top machine learning courses for finance professionals aiming to harness these techniques for better decision-making and performance.

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Analytics Vidhya

MAY 19, 2024

By leveraging natural language processing (NLP) and machine learning, conversational AI systems can understand and respond to human language, creating more engaging and efficient interactions.

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Analytics Vidhya

FEBRUARY 25, 2023

Introduction In recent years, the evolution of technology has increased tremendously, and nowadays, deep learning is widely used in many domains. This has achieved great success in many fields, like computer vision tasks and natural language processing.

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Marktechpost

DECEMBER 30, 2023

Natural Language Processing (NLP) is useful in many fields, bringing about transformative communication, information processing, and decision-making changes. This Paper from NYU Explores Advanced Models in Natural Language Processing appeared first on MarkTechPost.

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Analytics Vidhya

APRIL 16, 2024

Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017. These linguistic marvels, armed with self-attention mechanisms, revolutionize how machines understand language, from translating texts to analyzing sentiments.

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Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. This process is known as training, and it relies on large amounts of labeled data.

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Mlearning.ai

JANUARY 26, 2023

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. NLP sentiment analysis uses natural language processing (NLP) to identify, extract, and analyze sentiment from text data.

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Marktechpost

APRIL 12, 2024

Deep learning architectures have revolutionized the field of artificial intelligence, offering innovative solutions for complex problems across various domains, including computer vision, natural language processing, speech recognition, and generative models.

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Defined.ai blog

SEPTEMBER 21, 2023

That’s the power of Natural Language Processing (NLP) at work. In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. What is Natural Language Processing?

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Flipboard

MARCH 28, 2023

Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.

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Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

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Marktechpost

MAY 5, 2024

In deep learning, especially in NLP, image analysis, and biology, there is an increasing focus on developing models that offer both computational efficiency and robust expressiveness. The ever-increasing need for processing larger and more complex datasets has driven researchers to find more efficient and scalable solutions.

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Towards AI

NOVEMBER 19, 2023

This technique is more useful in the field of computer vision and natural language processing (NLP) because of large data that has semantic information. What is the issue of training deep learning models from scratch? It needs a lot of labeled data that takes more time and effort if not available publicly.It

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Marktechpost

OCTOBER 28, 2023

A model’s capacity to generalize or effectively apply its learned knowledge to new contexts is essential to the ongoing success of Natural Language Processing (NLP). Having the taxonomy in place makes it easier to get good generalizations, which further fosters the growth of Natural Language Processing.

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Dlabs.ai

DECEMBER 9, 2021

Natural language processing (NLP) is a core part of artificial intelligence. Natural Language Processing Succinctly Author : Joseph D. Booth The first book in our list focuses on machine learning-based NLP. There’s plenty of literature that covers the topic.

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Analytics Vidhya

JUNE 6, 2022

If we have to build any NLP-based software using Machine Learning or Deep Learning then we can use this pipeline. Natural Language Processing (NLP) is one […]. Introduction Hello friends, In this article, we will discuss End to End NLP pipeline in an easy way.

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Analytics Vidhya

JANUARY 24, 2024

Introduction Welcome to the world of Large Language Models (LLM). In the old days, transfer learning was a concept mostly used in deep learning. However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP).

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Analytics Vidhya

FEBRUARY 3, 2022

In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Deep learning, natural language processing, and computer vision are examples […].

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Marktechpost

APRIL 18, 2024

This necessity is particularly critical in natural language processing, where models must process long text streams seamlessly, retaining context without compromising processing speed or accuracy. By achieving a training loss of 1.70 Check out the Paper. Also, don’t forget to follow us on Twitter.

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Marktechpost

MARCH 6, 2024

Recent advancements in the field of Artificial Intelligence and Deep Learning have made remarkable strides, especially in generative modelling, which is a subfield of Machine Learning where models are trained to produce new data samples that match the training data. Check out the Paper , Github , and Blog.

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Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. Deep learning-based models, especially CNNs, have revolutionized feature extraction in image captioning.

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IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

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Aiiot Talk

MAY 6, 2023

AI comprises numerous technologies like deep learning, machine learning, natural language processing, and computer vision. With the help of these technologies, AI is now capable of learning, reasoning, and processing complex data.

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Towards AI

NOVEMBER 19, 2023

Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do. We will explain intuitively what each one means and how it contributes to the deep learning process.

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Heartbeat

MARCH 22, 2023

Learn NLP data processing operations with NLTK, visualize data with Kangas , build a spam classifier, and track it with Comet Machine Learning Platform Photo by Stephen Phillips — Hostreviews.co.uk These applications also leverage the power of Machine Learning and Deep Learning. """

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Heartbeat

FEBRUARY 21, 2024

Photo by Almos Bechtold on Unsplash Deep learning is a machine learning sub-branch that can automatically learn and understand complex tasks using artificial neural networks. Deep learning uses deep (multilayer) neural networks to process large amounts of data and learn highly abstract patterns.

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Pickl AI

JANUARY 3, 2024

Summary: The Machine Learning job market in 2024 is witnessing unprecedented growth, with a focus on India’s competitive landscape. As the market evolves, continuous learning and adaptability are crucial for success in this dynamic field. In 2024, the significance of Machine Learning (ML) cannot be overstated.

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Analytics Vidhya

APRIL 19, 2024

Introduction Wayve, a leading artificial intelligence company based in the United Kingdom, introduces Lingo-2, a groundbreaking system that harnesses the power of natural language processing. It integrates vision, language, and action to explain and determine driving behavior.

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Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role.

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John Snow Labs

MAY 10, 2023

Despite the laborious nature of the task, the notes are not structured in a way that can be effectively analyzed by a computer. Without Natural Language Processing, the unstructured data is of no use to modern computer-based algorithms. They used this information to classify patients into four different groups.

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NVIDIA

OCTOBER 6, 2023

Researchers from the Universities of California at Berkeley and Santa Cruz, and the Technical University of Munich recently released a paper describing a new model that delivers deep learning to earthquake forecasting. There’s a ton of room for improvement within the forecasting side of things.

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ODSC - Open Data Science

JULY 18, 2023

Here at ODSC, we couldn’t be more excited to announce Microsoft Azure’s tutorial series on Deep Learning and NLP, now available for free on Ai+. This team has a passion for fostering proficiency in AI, and can’t wait to help you deepen your knowledge in machine learning and deep learning. Sign me up!

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